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3 years ago

Whats the square root of 52 rounded to the nearest tenth

Mathematics

2 answers:

12345 [234]3 years ago

6 0

The square root of 52 is 7.2

oksano4ka [1.4K]3 years ago

4 0

The answer would be 7.2

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Why isn't 20 over 100 proportional

Rina8888 [55]

It isn't proportional because it is not reduced to the lowest terms

Instead 20 over 100 = 1 over 5

Hope this helps!

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3 years ago

BRAINLIEST AND 13 points plz help ASAP

aleksandrvk [35]

Answer:

its the 1st step

Step-by-step explanation:

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3 years ago

Read 2 more answers

nora is planning a birthday party for her little sister, colleen. she needs to purchase 12 cupcakes she can not spend more than

Lapatulllka [165]

Answer:

if she cannot spend more than $40, she will spend .3 on each cupcake

Step-by-step explanation:

when you divide 12 by 40, you get .3 and to check if it is true, you can multiply .3 x 40 and you will get 12 hope you get it right, and have a good day :)

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2 years ago

Hannah buys two and a half pound of dried fruit for $1.15 how much is she paying for one pounds of dried fruit

Nadya [2.5K]

All we have to do here is divide how much she paid ($1.15) by how many pounds of dried fruit she bought (2.5 pounds)

1.15 ÷ 2.5 = 0.46

Therefore each pound costs $0.46

Hope this helps

-AaronWiseIsBae

5 0

3 years ago

Which of the following probabilities is equal to approximately 0. 2957? Use the portion of the standard normal table below to he

Travka [436]

Probability of an event is the measure of its chance of occurrence. The event out of the listed events whose probability is 0.2957 is given by : Option C: $P(0.25 \leq Z \leq 1.25)$

<h3>How to get the z scores?</h3>

If we've got a normal distribution, then we can convert it to standard normal distribution and its values will give us the z-score.

If we have

$X \sim N(\mu, \sigma)$

(X is following normal distribution with mean $\mu$ and standard deviation $\sigma$ )

then it can be converted to standard normal distribution as

$Z = \dfrac{X - \mu}{\sigma}, \\\\Z \sim N(0,1)$

(Know the fact that in continuous distribution, probability of a single point is 0, so we can write

$P(Z \leq z) = P(Z < z) )$

Also, know that if we look for Z = z in z tables, the p-value we get is

$P(Z \leq z) = \rm p \: value$

Using the z-table, we get the needed probabilities as:

Case 1:

$P(-1.25 \leq Z \leq 0.25) = P(Z \leq 0.25) - P(Z \leq -1.25) \approx 0.5987 - 0.1056 = 0.4931$

Case 2:

$P(-1.25 \leq Z \leq 0.75) = P(Z \leq 0.75) - P(Z \leq -1.25) \approx 0.7734- 0.1056=0.6678$

Case 3:

$P(0.25 \leq Z \leq 1.25) = P(Z \leq 1.25) - P(Z \leq 0.25) \approx 0.8944 - 0.5987=0.2957$

Case 4:

$P(0.75 \leq Z \leq 1.25) = P(Z \leq 1.25) - P(Z \leq 0.75) \approx 0.8944 - 0.7734 =0.1210$

Thus, the event out of the listed events whose probability is 0.2957 is given by : Option C: $P(0.25 \leq Z \leq 1.25)$

Learn more about z-scores here:

brainly.com/question/13299273

5 0

2 years ago